OUCRU - d001_data_tidy

Dataset statistics

Number of variables	43
Number of observations	827
Missing cells	15311
Missing cells (%)	43.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	244.0 KiB
Average record size in memory	302.2 B

Variable types

Numeric	18
DateTime	1
Categorical	9
Boolean	15

Warnings

`aptt` has a high cardinality: 152 distinct values	High cardinality
`fibrinogen` has a high cardinality: 117 distinct values	High cardinality
`haematocrit_percent` is highly correlated with `hemoglobin`	High correlation
`hemoglobin` is highly correlated with `haematocrit_percent`	High correlation
`day_from_enrolment` is highly correlated with `day_from_admission`	High correlation
`day_from_admission` is highly correlated with `day_from_enrolment`	High correlation
`age` has 26 (3.1%) missing values	Missing
`albumin` has 789 (95.4%) missing values	Missing
`alt` has 766 (92.6%) missing values	Missing
`aptt` has 237 (28.7%) missing values	Missing
`ast` has 766 (92.6%) missing values	Missing
`bleeding` has 339 (41.0%) missing values	Missing
`bleeding_vaginal` has 348 (42.1%) missing values	Missing
`creatinine` has 783 (94.7%) missing values	Missing
`echymose` has 715 (86.5%) missing values	Missing
`echymosis` has 739 (89.4%) missing values	Missing
`event_serology` has 652 (78.8%) missing values	Missing
`fibrinogen` has 237 (28.7%) missing values	Missing
`gender` has 26 (3.1%) missing values	Missing
`haematocrit_percent` has 265 (32.0%) missing values	Missing
`hematemesis` has 715 (86.5%) missing values	Missing
`hematoma` has 715 (86.5%) missing values	Missing
`hemoglobin` has 266 (32.2%) missing values	Missing
`igg` has 654 (79.1%) missing values	Missing
`igg_interpretation` has 654 (79.1%) missing values	Missing
`igm` has 652 (78.8%) missing values	Missing
`igm_interpretation` has 652 (78.8%) missing values	Missing
`lymphocytes_percent` has 267 (32.3%) missing values	Missing
`meche` has 715 (86.5%) missing values	Missing
`melaena` has 715 (86.5%) missing values	Missing
`neutrophils_percent` has 266 (32.2%) missing values	Missing
`pcr_dengue_load` has 713 (86.2%) missing values	Missing
`pcr_dengue_serotype` has 17 (2.1%) missing values	Missing
`plt` has 241 (29.1%) missing values	Missing
`pt` has 262 (31.7%) missing values	Missing
`serology_interpretation` has 757 (91.5%) missing values	Missing
`wbc` has 266 (32.2%) missing values	Missing
`weight` has 37 (4.5%) missing values	Missing
`day_from_enrolment` has 26 (3.1%) missing values	Missing
`day_from_admission` has 26 (3.1%) missing values	Missing
`day_from_enrolment` has 88 (10.6%) zeros	Zeros
`day_from_admission` has 88 (10.6%) zeros	Zeros

Reproduction

Analysis started	2021-02-12 10:51:24.273308
Analysis finished	2021-02-12 10:51:55.987013
Duration	31.71 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

study_no
Real number (ℝ_≥0)

Distinct	112
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	84.86094317
Minimum	1
Maximum	225
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	28.5
median	72
Q3	154
95-th percentile	191
Maximum	225
Range	224
Interquartile range (IQR)	125.5

Descriptive statistics

Standard deviation	63.94259124
Coefficient of variation (CV)	0.7534984747
Kurtosis	-1.134883981
Mean	84.86094317
Median Absolute Deviation (MAD)	50
Skewness	0.4867513233
Sum	70180
Variance	4088.654974
Monotocity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	16	1.9%
161	15	1.8%
83	14	1.7%
72	13	1.6%
159	13	1.6%
77	12	1.5%
61	12	1.5%
30	11	1.3%
74	11	1.3%
73	11	1.3%
Other values (102)	699	84.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	9	1.1%
2	9	1.1%
3	11	1.3%
4	3	0.4%
5	9	1.1%

Value	Count	Frequency (%)
225	1	0.1%
224	1	0.1%
223	1	0.1%
222	1	0.1%
221	1	0.1%

date
Date

Distinct	211
Distinct (%)	25.7%
Missing	7
Missing (%)	0.8%
Memory size	6.6 KiB

Minimum	2010-06-12 00:00:00
Maximum	2012-04-04 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

age
Real number (ℝ_≥0)

MISSING

Distinct	14
Distinct (%)	1.7%
Missing	26
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%

Mean	18.85892634
Minimum	12
Maximum	25
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	12
5-th percentile	13
Q1	16
median	18
Q3	23
95-th percentile	25
Maximum	25
Range	13
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.985451461
Coefficient of variation (CV)	0.2113297114
Kurtosis	-1.218488173
Mean	18.85892634
Median Absolute Deviation (MAD)	4
Skewness	0.03882150443
Sum	15106
Variance	15.88382335
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
18	120	14.5%
16	109	13.2%
25	74	8.9%
23	72	8.7%
24	70	8.5%
14	56	6.8%
13	49	5.9%
22	49	5.9%
17	39	4.7%
21	37	4.5%
Other values (4)	126	15.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12	34	4.1%
13	49	5.9%
14	56	6.8%
15	28	3.4%
16	109	13.2%

Value	Count	Frequency (%)
25	74	8.9%
24	70	8.5%
23	72	8.7%
22	49	5.9%
21	37	4.5%

albumin
Real number (ℝ_≥0)

MISSING

Distinct	33
Distinct (%)	86.8%
Missing	789
Missing (%)	95.4%
Infinite	0
Infinite (%)	0.0%

Mean	31.43421053
Minimum	18.3
Maximum	42.3
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	18.3
5-th percentile	20.995
Q1	27.1
median	32.45
Q3	37.25
95-th percentile	40.26
Maximum	42.3
Range	24
Interquartile range (IQR)	10.15

Descriptive statistics

Standard deviation	6.626412193
Coefficient of variation (CV)	0.2108025645
Kurtosis	-0.9974062732
Mean	31.43421053
Median Absolute Deviation (MAD)	4.9
Skewness	-0.3016566273
Sum	1194.5
Variance	43.90933855
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
21.1	3	0.4%
37.3	2	0.2%
27.8	2	0.2%
24.7	2	0.2%
27.4	1	0.1%
39.8	1	0.1%
27	1	0.1%
30.1	1	0.1%
31.2	1	0.1%
36.3	1	0.1%
Other values (23)	23	2.8%
(Missing)	789	95.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18.3	1	0.1%
20.4	1	0.1%
21.1	3	0.4%
22.8	1	0.1%
24.7	2	0.2%

Value	Count	Frequency (%)
42.3	1	0.1%
40.6	1	0.1%
40.2	1	0.1%
39.8	1	0.1%
39	1	0.1%

alt
Real number (ℝ_≥0)

MISSING

Distinct	56
Distinct (%)	91.8%
Missing	766
Missing (%)	92.6%
Infinite	0
Infinite (%)	0.0%

Mean	185.5409836
Minimum	10
Maximum	1414
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	10
5-th percentile	18
Q1	35
median	86
Q3	172
95-th percentile	635
Maximum	1414
Range	1404
Interquartile range (IQR)	137

Descriptive statistics

Standard deviation	282.6606077
Coefficient of variation (CV)	1.523440278
Kurtosis	10.26389794
Mean	185.5409836
Median Absolute Deviation (MAD)	56
Skewness	3.059797111
Sum	11318
Variance	79897.01913
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
137	2	0.2%
27	2	0.2%
21	2	0.2%
61	2	0.2%
85	2	0.2%
259	1	0.1%
99	1	0.1%
42	1	0.1%
291	1	0.1%
102	1	0.1%
Other values (46)	46	5.6%
(Missing)	766	92.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	1	0.1%
11	1	0.1%
12	1	0.1%
18	1	0.1%
20	1	0.1%

Value	Count	Frequency (%)
1414	1	0.1%
1391	1	0.1%
777	1	0.1%
635	1	0.1%
623	1	0.1%

aptt
Categorical

HIGH CARDINALITY
MISSING

Distinct	152
Distinct (%)	25.8%
Missing	237
Missing (%)	28.7%
Memory size	6.6 KiB

	335
38.1	8
35.9	5
36.1	4
36.8	4
Other values (147)	234

Length

Max length	6
Median length	1
Mean length	2.261016949
Min length	1

Characters and Unicode

Total characters	1334
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	84 ?
Unique (%)	14.2%

Sample

1st row
2nd row	33.2
3rd row
4th row	36.2
5th row

Value	Count	Frequency (%)
	335	40.5%
38.1	8	1.0%
35.9	5	0.6%
36.1	4	0.5%
36.8	4	0.5%
32	4	0.5%
32.8	4	0.5%
35.5	4	0.5%
29.6	4	0.5%
36.4	3	0.4%
Other values (142)	215	26.0%
(Missing)	237	28.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
38.1	8	3.1%
35.9	5	2.0%
29.6	4	1.6%
36.1	4	1.6%
32	4	1.6%
36.8	4	1.6%
35.5	4	1.6%
32.8	4	1.6%
38.4	3	1.2%
34.9	3	1.2%
Other values (139)	212	83.1%

Most occurring characters

Value	Count	Frequency (%)
	337	25.3%
.	238	17.8%
3	211	15.8%
4	97	7.3%
2	76	5.7%
5	72	5.4%
6	62	4.6%
9	59	4.4%
1	58	4.3%
8	48	3.6%
Other values (3)	76	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	757	56.7%
Space Separator	337	25.3%
Other Punctuation	240	18.0%

Most frequent character per category

Value	Count	Frequency (%)
3	211	27.9%
4	97	12.8%
2	76	10.0%
5	72	9.5%
6	62	8.2%
9	59	7.8%
1	58	7.7%
8	48	6.3%
7	39	5.2%
0	35	4.6%

Value	Count	Frequency (%)
.	238	99.2%
,	2	0.8%

Value	Count	Frequency (%)
	337	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1334	100.0%

Most frequent character per script

Value	Count	Frequency (%)
	337	25.3%
.	238	17.8%
3	211	15.8%
4	97	7.3%
2	76	5.7%
5	72	5.4%
6	62	4.6%
9	59	4.4%
1	58	4.3%
8	48	3.6%
Other values (3)	76	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1334	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	337	25.3%
.	238	17.8%
3	211	15.8%
4	97	7.3%
2	76	5.7%
5	72	5.4%
6	62	4.6%
9	59	4.4%
1	58	4.3%
8	48	3.6%
Other values (3)	76	5.7%

ast
Real number (ℝ_≥0)

MISSING

Distinct	60
Distinct (%)	98.4%
Missing	766
Missing (%)	92.6%
Infinite	0
Infinite (%)	0.0%

Mean	463.3278689
Minimum	14
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	14
5-th percentile	23
Q1	69
median	162
Q3	348
95-th percentile	1187
Maximum	9999
Range	9985
Interquartile range (IQR)	279

Descriptive statistics

Standard deviation	1348.666659
Coefficient of variation (CV)	2.91082568
Kurtosis	43.33119985
Mean	463.3278689
Median Absolute Deviation (MAD)	112
Skewness	6.292571635
Sum	28263
Variance	1818901.757
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	2	0.2%
2329	1	0.1%
168	1	0.1%
69	1	0.1%
368	1	0.1%
348	1	0.1%
283	1	0.1%
42	1	0.1%
108	1	0.1%
218	1	0.1%
Other values (50)	50	6.0%
(Missing)	766	92.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14	1	0.1%
15	1	0.1%
21	1	0.1%
23	1	0.1%
26	1	0.1%

Value	Count	Frequency (%)
9999	1	0.1%
3336	1	0.1%
2329	1	0.1%
1187	1	0.1%
1081	1	0.1%

bleeding
Boolean

MISSING

Distinct	2
Distinct (%)	0.4%
Missing	339
Missing (%)	41.0%
Memory size	6.6 KiB

True	365
False	123
(Missing)	339

Common Values
Chart

Value	Count	Frequency (%)
True	365	44.1%
False	123	14.9%
(Missing)	339	41.0%

bleeding_gum
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	955.0 B

False	716
True	111

Common Values
Chart

Value	Count	Frequency (%)
False	716	86.6%
True	111	13.4%

bleeding_nose
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	955.0 B

False	758
True	69

Common Values
Chart

Value	Count	Frequency (%)
False	758	91.7%
True	69	8.3%

bleeding_severity
Categorical

Distinct	5
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	6.6 KiB

nan	739
1.0	35
3.0	25
2.0	21
4.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2481
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	3.0

Value	Count	Frequency (%)
nan	739	89.4%
1.0	35	4.2%
3.0	25	3.0%
2.0	21	2.5%
4.0	7	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	739	89.4%
1.0	35	4.2%
3.0	25	3.0%
2.0	21	2.5%
4.0	7	0.8%

Most occurring characters

Value	Count	Frequency (%)
n	1478	59.6%
a	739	29.8%
.	88	3.5%
0	88	3.5%
1	35	1.4%
3	25	1.0%
2	21	0.8%
4	7	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2217	89.4%
Decimal Number	176	7.1%
Other Punctuation	88	3.5%

Most frequent character per category

Value	Count	Frequency (%)
0	88	50.0%
1	35	19.9%
3	25	14.2%
2	21	11.9%
4	7	4.0%

Value	Count	Frequency (%)
n	1478	66.7%
a	739	33.3%

Value	Count	Frequency (%)
.	88	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2217	89.4%
Common	264	10.6%

Most frequent character per script

Value	Count	Frequency (%)
.	88	33.3%
0	88	33.3%
1	35	13.3%
3	25	9.5%
2	21	8.0%
4	7	2.7%

Value	Count	Frequency (%)
n	1478	66.7%
a	739	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2481	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	1478	59.6%
a	739	29.8%
.	88	3.5%
0	88	3.5%
1	35	1.4%
3	25	1.0%
2	21	0.8%
4	7	0.3%

bleeding_vaginal
Boolean

MISSING

Distinct	2
Distinct (%)	0.4%
Missing	348
Missing (%)	42.1%
Memory size	6.6 KiB

False	340
True	139
(Missing)	348

Common Values
Chart

Value	Count	Frequency (%)
False	340	41.1%
True	139	16.8%
(Missing)	348	42.1%

bruising
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	955.0 B

False	493
True	334

Common Values
Chart

Value	Count	Frequency (%)
False	493	59.6%
True	334	40.4%

creatinine
Real number (ℝ_≥0)

MISSING

Distinct	33
Distinct (%)	75.0%
Missing	783
Missing (%)	94.7%
Infinite	0
Infinite (%)	0.0%

Mean	81.02272727
Minimum	41
Maximum	160
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	41
5-th percentile	51.6
Q1	65.5
median	79.5
Q3	89.5
95-th percentile	136
Maximum	160
Range	119
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	24.92452667
Coefficient of variation (CV)	0.3076238915
Kurtosis	2.517919835
Mean	81.02272727
Median Absolute Deviation (MAD)	13
Skewness	1.364861049
Sum	3565
Variance	621.2320296
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
81	3	0.4%
74	3	0.4%
91	2	0.2%
88	2	0.2%
79	2	0.2%
59	2	0.2%
69	2	0.2%
87	2	0.2%
66	2	0.2%
62	1	0.1%
Other values (23)	23	2.8%
(Missing)	783	94.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
41	1	0.1%
46	1	0.1%
51	1	0.1%
55	1	0.1%
56	1	0.1%

Value	Count	Frequency (%)
160	1	0.1%
150	1	0.1%
139	1	0.1%
119	1	0.1%
108	1	0.1%

echymose
Boolean

MISSING

Distinct	2
Distinct (%)	1.8%
Missing	715
Missing (%)	86.5%
Memory size	6.6 KiB

False	109
True	3
(Missing)	715

Common Values
Chart

Value	Count	Frequency (%)
False	109	13.2%
True	3	0.4%
(Missing)	715	86.5%

echymosis
Boolean

MISSING

Distinct	2
Distinct (%)	2.3%
Missing	739
Missing (%)	89.4%
Memory size	6.6 KiB

False	85
True	3
(Missing)	739

Common Values
Chart

Value	Count	Frequency (%)
False	85	10.3%
True	3	0.4%
(Missing)	739	89.4%

event_serology
Boolean

MISSING

Distinct	2
Distinct (%)	1.1%
Missing	652
Missing (%)	78.8%
Memory size	6.6 KiB

True	174
False	1
(Missing)	652

Common Values
Chart

Value	Count	Frequency (%)
True	174	21.0%
False	1	0.1%
(Missing)	652	78.8%

fibrinogen
Categorical

HIGH CARDINALITY
MISSING

Distinct	117
Distinct (%)	19.8%
Missing	237
Missing (%)	28.7%
Memory size	6.6 KiB

	335
3.7	13
4.5	12
3.6	10
3.9	10
Other values (112)	210

Length

Max length	18
Median length	1
Mean length	2.306779661
Min length	1

Characters and Unicode

Total characters	1361
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	77 ?
Unique (%)	13.1%

Sample

1st row
2nd row	4
3rd row
4th row	3.7
5th row

Value	Count	Frequency (%)
	335	40.5%
3.7	13	1.6%
4.5	12	1.5%
3.6	10	1.2%
3.9	10	1.2%
4.1	9	1.1%
3.5	9	1.1%
4.2	7	0.8%
2.9	7	0.8%
4.4	6	0.7%
Other values (107)	172	20.8%
(Missing)	237	28.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
3.7	14	5.5%
4.5	12	4.7%
3.6	10	3.9%
3.9	10	3.9%
3.5	9	3.5%
4.1	9	3.5%
2.9	7	2.7%
4.2	7	2.7%
3.8	6	2.4%
4.6	6	2.4%
Other values (105)	165	64.7%

Most occurring characters

Value	Count	Frequency (%)
	337	24.8%
.	245	18.0%
9	134	9.8%
3	113	8.3%
4	110	8.1%
0	94	6.9%
5	80	5.9%
2	69	5.1%
7	47	3.5%
6	47	3.5%
Other values (3)	85	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	777	57.1%
Space Separator	337	24.8%
Other Punctuation	247	18.1%

Most frequent character per category

Value	Count	Frequency (%)
9	134	17.2%
3	113	14.5%
4	110	14.2%
0	94	12.1%
5	80	10.3%
2	69	8.9%
7	47	6.0%
6	47	6.0%
1	47	6.0%
8	36	4.6%

Value	Count	Frequency (%)
.	245	99.2%
,	2	0.8%

Value	Count	Frequency (%)
	337	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1361	100.0%

Most frequent character per script

Value	Count	Frequency (%)
	337	24.8%
.	245	18.0%
9	134	9.8%
3	113	8.3%
4	110	8.1%
0	94	6.9%
5	80	5.9%
2	69	5.1%
7	47	3.5%
6	47	3.5%
Other values (3)	85	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1361	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	337	24.8%
.	245	18.0%
9	134	9.8%
3	113	8.3%
4	110	8.1%
0	94	6.9%
5	80	5.9%
2	69	5.1%
7	47	3.5%
6	47	3.5%
Other values (3)	85	6.2%

gender
Categorical

MISSING

Distinct	2
Distinct (%)	0.2%
Missing	26
Missing (%)	3.1%
Memory size	6.6 KiB

Female	454
Male	347

Length

Max length	6
Median length	6
Mean length	5.133583021
Min length	4

Characters and Unicode

Total characters	4112
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Female
5th row	Female

Value	Count	Frequency (%)
Female	454	54.9%
Male	347	42.0%
(Missing)	26	3.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	454	56.7%
male	347	43.3%

Most occurring characters

Value	Count	Frequency (%)
e	1255	30.5%
a	801	19.5%
l	801	19.5%
F	454	11.0%
m	454	11.0%
M	347	8.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3311	80.5%
Uppercase Letter	801	19.5%

Most frequent character per category

Value	Count	Frequency (%)
e	1255	37.9%
a	801	24.2%
l	801	24.2%
m	454	13.7%

Value	Count	Frequency (%)
F	454	56.7%
M	347	43.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4112	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	1255	30.5%
a	801	19.5%
l	801	19.5%
F	454	11.0%
m	454	11.0%
M	347	8.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4112	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	1255	30.5%
a	801	19.5%
l	801	19.5%
F	454	11.0%
m	454	11.0%
M	347	8.4%

haematocrit_percent
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	196
Distinct (%)	34.9%
Missing	265
Missing (%)	32.0%
Infinite	0
Infinite (%)	0.0%

Mean	39.87419929
Minimum	21.3
Maximum	57
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	21.3
5-th percentile	29.7
Q1	36.8
median	39.75
Q3	43.4
95-th percentile	49.59
Maximum	57
Range	35.7
Interquartile range (IQR)	6.6

Descriptive statistics

Standard deviation	5.770086344
Coefficient of variation (CV)	0.1447072655
Kurtosis	1.083611259
Mean	39.87419929
Median Absolute Deviation (MAD)	3.25
Skewness	-0.1324485362
Sum	22409.3
Variance	33.29389642
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38.3	13	1.6%
45	10	1.2%
39.2	9	1.1%
40	9	1.1%
39.3	8	1.0%
42	8	1.0%
37.8	8	1.0%
47	7	0.8%
39.8	7	0.8%
41.5	7	0.8%
Other values (186)	476	57.6%
(Missing)	265	32.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21.3	1	0.1%
21.5	1	0.1%
22	1	0.1%
22.7	2	0.2%
22.8	1	0.1%

Value	Count	Frequency (%)
57	1	0.1%
56.3	1	0.1%
56	1	0.1%
55	5	0.6%
54	2	0.2%

hematemesis
Boolean

MISSING

Distinct	2
Distinct (%)	1.8%
Missing	715
Missing (%)	86.5%
Memory size	6.6 KiB

False	111
True	1
(Missing)	715

Common Values
Chart

Value	Count	Frequency (%)
False	111	13.4%
True	1	0.1%
(Missing)	715	86.5%

hematoma
Boolean

MISSING

Distinct	2
Distinct (%)	1.8%
Missing	715
Missing (%)	86.5%
Memory size	6.6 KiB

False	106
True	6
(Missing)	715

Common Values
Chart

Value	Count	Frequency (%)
False	106	12.8%
True	6	0.7%
(Missing)	715	86.5%

hemoglobin
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	17.5%
Missing	266
Missing (%)	32.2%
Infinite	0
Infinite (%)	0.0%

Mean	13.36969697
Minimum	6.9
Maximum	18.8
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	6.9
5-th percentile	10.2
Q1	12.3
median	13.5
Q3	14.5
95-th percentile	16.5
Maximum	18.8
Range	11.9
Interquartile range (IQR)	2.2

Descriptive statistics

Standard deviation	1.850311194
Coefficient of variation (CV)	0.1383958962
Kurtosis	0.899847941
Mean	13.36969697
Median Absolute Deviation (MAD)	1.1
Skewness	-0.3065772585
Sum	7500.4
Variance	3.423651515
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.5	18	2.2%
13	18	2.2%
13.7	18	2.2%
13.9	18	2.2%
12.9	16	1.9%
14.5	14	1.7%
12.5	14	1.7%
12.7	14	1.7%
14.3	13	1.6%
13.8	13	1.6%
Other values (88)	405	49.0%
(Missing)	266	32.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6.9	1	0.1%
7.2	1	0.1%
7.7	1	0.1%
7.8	1	0.1%
7.9	1	0.1%

Value	Count	Frequency (%)
18.8	1	0.1%
18.5	1	0.1%
18.4	1	0.1%
17.6	2	0.2%
17.5	2	0.2%

igg
Real number (ℝ)

MISSING

Distinct	169
Distinct (%)	97.7%
Missing	654
Missing (%)	79.1%
Infinite	0
Infinite (%)	0.0%

Mean	29.31121387
Minimum	-0.795
Maximum	123.11
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	-0.795
5-th percentile	-0.038
Q1	2.015
median	26.11
Q3	41.795
95-th percentile	95.123
Maximum	123.11
Range	123.905
Interquartile range (IQR)	39.78

Descriptive statistics

Standard deviation	30.45471737
Coefficient of variation (CV)	1.039012492
Kurtosis	0.9370534506
Mean	29.31121387
Median Absolute Deviation (MAD)	23.895
Skewness	1.126724323
Sum	5070.84
Variance	927.4898101
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.175	2	0.2%
37.605	2	0.2%
0.485	2	0.2%
5.175	2	0.2%
60.78	1	0.1%
0.72	1	0.1%
123.11	1	0.1%
36.58	1	0.1%
53.975	1	0.1%
15.12	1	0.1%
Other values (159)	159	19.2%
(Missing)	654	79.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.795	1	0.1%
-0.505	1	0.1%
-0.39	1	0.1%
-0.3	1	0.1%
-0.29	1	0.1%

Value	Count	Frequency (%)
123.11	1	0.1%
119.495	1	0.1%
119.205	1	0.1%
116.915	1	0.1%
114.99	1	0.1%

igg_interpretation
Categorical

MISSING

Distinct	3
Distinct (%)	1.7%
Missing	654
Missing (%)	79.1%
Memory size	6.6 KiB

Positive	101
Negative	67
Equivocal	5

Length

Max length	9
Median length	8
Mean length	8.028901734
Min length	8

Characters and Unicode

Total characters	1389
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Negative
2nd row	Positive
3rd row	Negative
4th row	Positive
5th row	Negative

Value	Count	Frequency (%)
Positive	101	12.2%
Negative	67	8.1%
Equivocal	5	0.6%
(Missing)	654	79.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
positive	101	58.4%
negative	67	38.7%
equivocal	5	2.9%

Most occurring characters

Value	Count	Frequency (%)
i	274	19.7%
e	235	16.9%
v	173	12.5%
t	168	12.1%
o	106	7.6%
P	101	7.3%
s	101	7.3%
a	72	5.2%
N	67	4.8%
g	67	4.8%
Other values (5)	25	1.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1216	87.5%
Uppercase Letter	173	12.5%

Most frequent character per category

Value	Count	Frequency (%)
i	274	22.5%
e	235	19.3%
v	173	14.2%
t	168	13.8%
o	106	8.7%
s	101	8.3%
a	72	5.9%
g	67	5.5%
q	5	0.4%
u	5	0.4%
Other values (2)	10	0.8%

Value	Count	Frequency (%)
P	101	58.4%
N	67	38.7%
E	5	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1389	100.0%

Most frequent character per script

Value	Count	Frequency (%)
i	274	19.7%
e	235	16.9%
v	173	12.5%
t	168	12.1%
o	106	7.6%
P	101	7.3%
s	101	7.3%
a	72	5.2%
N	67	4.8%
g	67	4.8%
Other values (5)	25	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1389	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	274	19.7%
e	235	16.9%
v	173	12.5%
t	168	12.1%
o	106	7.6%
P	101	7.3%
s	101	7.3%
a	72	5.2%
N	67	4.8%
g	67	4.8%
Other values (5)	25	1.8%

igm
Real number (ℝ_≥0)

MISSING

Distinct	171
Distinct (%)	97.7%
Missing	652
Missing (%)	78.8%
Infinite	0
Infinite (%)	0.0%

Mean	22.37014286
Minimum	0.185
Maximum	67.58
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	0.185
5-th percentile	1.717
Q1	4.045
median	16.3
Q3	36.8875
95-th percentile	59.8105
Maximum	67.58
Range	67.395
Interquartile range (IQR)	32.8425

Descriptive statistics

Standard deviation	19.59436142
Coefficient of variation (CV)	0.8759157931
Kurtosis	-0.8043062565
Mean	22.37014286
Median Absolute Deviation (MAD)	13.715
Skewness	0.649128354
Sum	3914.775
Variance	383.9389995
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28.785	2	0.2%
3.48	2	0.2%
40.52	2	0.2%
6.52	2	0.2%
3.195	1	0.1%
36.495	1	0.1%
25.105	1	0.1%
49.18	1	0.1%
11.31	1	0.1%
2.3	1	0.1%
Other values (161)	161	19.5%
(Missing)	652	78.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.185	1	0.1%
0.195	1	0.1%
0.815	1	0.1%
1.415	1	0.1%
1.42	1	0.1%

Value	Count	Frequency (%)
67.58	1	0.1%
67.515	1	0.1%
64.095	1	0.1%
64.01	1	0.1%
63.28	1	0.1%

igm_interpretation
Categorical

MISSING

Distinct	3
Distinct (%)	1.7%
Missing	652
Missing (%)	78.8%
Memory size	6.6 KiB

Positive	101
Negative	68
Equivocal	6

Length

Max length	9
Median length	8
Mean length	8.034285714
Min length	8

Characters and Unicode

Total characters	1406
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Negative
2nd row	Positive
3rd row	Negative
4th row	Positive
5th row	Negative

Value	Count	Frequency (%)
Positive	101	12.2%
Negative	68	8.2%
Equivocal	6	0.7%
(Missing)	652	78.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
positive	101	57.7%
negative	68	38.9%
equivocal	6	3.4%

Most occurring characters

Value	Count	Frequency (%)
i	276	19.6%
e	237	16.9%
v	175	12.4%
t	169	12.0%
o	107	7.6%
P	101	7.2%
s	101	7.2%
a	74	5.3%
N	68	4.8%
g	68	4.8%
Other values (5)	30	2.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1231	87.6%
Uppercase Letter	175	12.4%

Most frequent character per category

Value	Count	Frequency (%)
i	276	22.4%
e	237	19.3%
v	175	14.2%
t	169	13.7%
o	107	8.7%
s	101	8.2%
a	74	6.0%
g	68	5.5%
q	6	0.5%
u	6	0.5%
Other values (2)	12	1.0%

Value	Count	Frequency (%)
P	101	57.7%
N	68	38.9%
E	6	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1406	100.0%

Most frequent character per script

Value	Count	Frequency (%)
i	276	19.6%
e	237	16.9%
v	175	12.4%
t	169	12.0%
o	107	7.6%
P	101	7.2%
s	101	7.2%
a	74	5.3%
N	68	4.8%
g	68	4.8%
Other values (5)	30	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1406	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	276	19.6%
e	237	16.9%
v	175	12.4%
t	169	12.0%
o	107	7.6%
P	101	7.2%
s	101	7.2%
a	74	5.3%
N	68	4.8%
g	68	4.8%
Other values (5)	30	2.1%

lymphocytes_percent
Real number (ℝ_≥0)

MISSING

Distinct	342
Distinct (%)	61.1%
Missing	267
Missing (%)	32.3%
Infinite	0
Infinite (%)	0.0%

Mean	32.47339286
Minimum	2.9
Maximum	68.8
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	2.9
5-th percentile	8.485
Q1	22.575
median	33.55
Q3	42
95-th percentile	54.915
Maximum	68.8
Range	65.9
Interquartile range (IQR)	19.425

Descriptive statistics

Standard deviation	13.71978407
Coefficient of variation (CV)	0.4224930895
Kurtosis	-0.5048544961
Mean	32.47339286
Median Absolute Deviation (MAD)	9.25
Skewness	-0.02142260371
Sum	18185.1
Variance	188.2324751
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33.8	7	0.8%
39.6	5	0.6%
37	5	0.6%
34.6	5	0.6%
19.4	4	0.5%
37.9	4	0.5%
34.8	4	0.5%
47.2	4	0.5%
36.6	4	0.5%
27.3	4	0.5%
Other values (332)	514	62.2%
(Missing)	267	32.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.9	1	0.1%
3.7	1	0.1%
3.9	1	0.1%
4	1	0.1%
4.1	1	0.1%

Value	Count	Frequency (%)
68.8	1	0.1%
65.9	1	0.1%
65.3	1	0.1%
64.7	1	0.1%
64.3	1	0.1%

meche
Boolean

MISSING

Distinct	2
Distinct (%)	1.8%
Missing	715
Missing (%)	86.5%
Memory size	6.6 KiB

False	111
True	1
(Missing)	715

Common Values
Chart

Value	Count	Frequency (%)
False	111	13.4%
True	1	0.1%
(Missing)	715	86.5%

melaena
Boolean

MISSING

Distinct	2
Distinct (%)	1.8%
Missing	715
Missing (%)	86.5%
Memory size	6.6 KiB

False	107
True	5
(Missing)	715

Common Values
Chart

Value	Count	Frequency (%)
False	107	12.9%
True	5	0.6%
(Missing)	715	86.5%

neutrophils_percent
Real number (ℝ_≥0)

MISSING

Distinct	391
Distinct (%)	69.7%
Missing	266
Missing (%)	32.2%
Infinite	0
Infinite (%)	0.0%

Mean	49.30534759
Minimum	10.2
Maximum	91.1
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	10.2
5-th percentile	21.2
Q1	35.7
median	48.7
Q3	62.9
95-th percentile	80.7
Maximum	91.1
Range	80.9
Interquartile range (IQR)	27.2

Descriptive statistics

Standard deviation	17.95689899
Coefficient of variation (CV)	0.3641977973
Kurtosis	-0.6867938743
Mean	49.30534759
Median Absolute Deviation (MAD)	13.4
Skewness	0.1956249689
Sum	27660.3
Variance	322.4502214
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.4	5	0.6%
54.1	4	0.5%
26.6	4	0.5%
42.7	4	0.5%
46.1	4	0.5%
66	4	0.5%
42.5	3	0.4%
53.3	3	0.4%
63.4	3	0.4%
41.6	3	0.4%
Other values (381)	524	63.4%
(Missing)	266	32.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10.2	1	0.1%
11	1	0.1%
11.2	1	0.1%
13.9	1	0.1%
14.6	1	0.1%

Value	Count	Frequency (%)
91.1	1	0.1%
90.3	2	0.2%
89.1	1	0.1%
88.9	1	0.1%
88.2	1	0.1%

pcr_dengue_load
Real number (ℝ_≥0)

MISSING

Distinct	99
Distinct (%)	86.8%
Missing	713
Missing (%)	86.2%
Infinite	0
Infinite (%)	0.0%

Mean	5407925461
Minimum	803.57
Maximum	1.36429 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	803.57
5-th percentile	3828.85
Q1	556428.6786
median	22071428.79
Q3	634285714.2
95-th percentile	2.720714296 × 10¹⁰
Maximum	1.36429 × 10¹¹
Range	1.364289992 × 10¹¹
Interquartile range (IQR)	633729285.5

Descriptive statistics

Standard deviation	2.096683474 × 10¹⁰
Coefficient of variation (CV)	3.877056903
Kurtosis	27.65671495
Mean	5407925461
Median Absolute Deviation (MAD)	22069916.5
Skewness	5.120377362
Sum	6.165035026 × 10¹¹
Variance	4.396081589 × 10²⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9500000	2	0.2%
3778571429	2	0.2%
2950000000	2	0.2%
9714	2	0.2%
1414285714	2	0.2%
4921428571	2	0.2%
16000	2	0.2%
7.285714286 × 10¹⁰	2	0.2%
1.685714286 × 10¹⁰	2	0.2%
8000000000	2	0.2%
Other values (89)	94	11.4%
(Missing)	713	86.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
803.57	1	0.1%
2221	1	0.1%
2221.428571	1	0.1%
3089	1	0.1%
3089.29	1	0.1%

Value	Count	Frequency (%)
1.36429 × 10¹¹	1	0.1%
1.364285714 × 10¹¹	1	0.1%
7.285714286 × 10¹⁰	2	0.2%
4.642857172 × 10¹⁰	1	0.1%
4.642857172 × 10¹⁰	1	0.1%

pcr_dengue_serotype
Categorical

MISSING

Distinct	8
Distinct (%)	1.0%
Missing	17
Missing (%)	2.1%
Memory size	6.6 KiB

<LOD	292
DENV-2	220
DENV-1	197
DENV-3	42
DENV-4	26
Other values (3)	33

Length

Max length	13
Median length	6
Mean length	5.564197531
Min length	4

Characters and Unicode

Total characters	4507
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DENV-2
2nd row	DENV-2
3rd row	DENV-2
4th row	DENV-2
5th row	DENV-2

Value	Count	Frequency (%)
<LOD	292	35.3%
DENV-2	220	26.6%
DENV-1	197	23.8%
DENV-3	42	5.1%
DENV-4	26	3.1%
DENV-1,DENV-2	15	1.8%
DENV-1,DENV-4	10	1.2%
DENV-1,DENV-3	8	1.0%
(Missing)	17	2.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
lod	292	36.0%
denv-2	220	27.2%
denv-1	197	24.3%
denv-3	42	5.2%
denv-4	26	3.2%
denv-1,denv-2	15	1.9%
denv-1,denv-4	10	1.2%
denv-1,denv-3	8	1.0%

Most occurring characters

Value	Count	Frequency (%)
D	843	18.7%
E	551	12.2%
N	551	12.2%
V	551	12.2%
-	551	12.2%
<	292	6.5%
L	292	6.5%
O	292	6.5%
2	235	5.2%
1	230	5.1%
Other values (3)	119	2.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3080	68.3%
Dash Punctuation	551	12.2%
Decimal Number	551	12.2%
Math Symbol	292	6.5%
Other Punctuation	33	0.7%

Most frequent character per category

Value	Count	Frequency (%)
D	843	27.4%
E	551	17.9%
N	551	17.9%
V	551	17.9%
L	292	9.5%
O	292	9.5%

Value	Count	Frequency (%)
2	235	42.6%
1	230	41.7%
3	50	9.1%
4	36	6.5%

Value	Count	Frequency (%)
-	551	100.0%

Value	Count	Frequency (%)
<	292	100.0%

Value	Count	Frequency (%)
,	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3080	68.3%
Common	1427	31.7%

Most frequent character per script

Value	Count	Frequency (%)
-	551	38.6%
<	292	20.5%
2	235	16.5%
1	230	16.1%
3	50	3.5%
4	36	2.5%
,	33	2.3%

Value	Count	Frequency (%)
D	843	27.4%
E	551	17.9%
N	551	17.9%
V	551	17.9%
L	292	9.5%
O	292	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4507	100.0%

Most frequent character per block

Value	Count	Frequency (%)
D	843	18.7%
E	551	12.2%
N	551	12.2%
V	551	12.2%
-	551	12.2%
<	292	6.5%
L	292	6.5%
O	292	6.5%
2	235	5.2%
1	230	5.1%
Other values (3)	119	2.6%

petechiae
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	955.0 B

False	414
True	413

Common Values
Chart

Value	Count	Frequency (%)
False	414	50.1%
True	413	49.9%

plt
Real number (ℝ_≥0)

MISSING

Distinct	324
Distinct (%)	55.3%
Missing	241
Missing (%)	29.1%
Infinite	0
Infinite (%)	0.0%

Mean	111.2498294
Minimum	6
Maximum	405
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	6
5-th percentile	13
Q1	42.13333333
median	88.925
Q3	156
95-th percentile	289.75
Maximum	405
Range	399
Interquartile range (IQR)	113.8666667

Descriptive statistics

Standard deviation	88.82342724
Coefficient of variation (CV)	0.7984140538
Kurtosis	0.6343433783
Mean	111.2498294
Median Absolute Deviation (MAD)	54.65
Skewness	1.095532639
Sum	65192.4
Variance	7889.601226
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47	6	0.7%
116	6	0.7%
24	6	0.7%
64	5	0.6%
112	5	0.6%
30	5	0.6%
48	5	0.6%
23	5	0.6%
49	5	0.6%
19	5	0.6%
Other values (314)	533	64.4%
(Missing)	241	29.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	1	0.1%
7	2	0.2%
8	1	0.1%
9	4	0.5%
9.2	1	0.1%

Value	Count	Frequency (%)
405	1	0.1%
398	1	0.1%
395	1	0.1%
386	1	0.1%
381	2	0.2%

pt
Categorical

MISSING

Distinct	15
Distinct (%)	2.7%
Missing	262
Missing (%)	31.7%
Memory size	6.6 KiB

	337
13	74
14	45
15	30
12	30
Other values (10)	49

Length

Max length	2
Median length	1
Mean length	1.403539823
Min length	1

Characters and Unicode

Total characters	793
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.9%

Sample

1st row
2nd row	14
3rd row
4th row
5th row	13

Value	Count	Frequency (%)
	337	40.7%
13	74	8.9%
14	45	5.4%
15	30	3.6%
12	30	3.6%
16	17	2.1%
17	10	1.2%
11	7	0.8%
18	6	0.7%
19	4	0.5%
Other values (5)	5	0.6%
(Missing)	262	31.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
13	74	32.5%
14	45	19.7%
15	30	13.2%
12	30	13.2%
16	17	7.5%
17	10	4.4%
11	7	3.1%
18	6	2.6%
19	4	1.8%
22	1	0.4%
Other values (4)	4	1.8%

Most occurring characters

Value	Count	Frequency (%)
	337	42.5%
1	231	29.1%
3	74	9.3%
4	46	5.8%
2	36	4.5%
5	31	3.9%
6	17	2.1%
7	11	1.4%
8	6	0.8%
9	4	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	456	57.5%
Space Separator	337	42.5%

Most frequent character per category

Value	Count	Frequency (%)
1	231	50.7%
3	74	16.2%
4	46	10.1%
2	36	7.9%
5	31	6.8%
6	17	3.7%
7	11	2.4%
8	6	1.3%
9	4	0.9%

Value	Count	Frequency (%)
	337	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	793	100.0%

Most frequent character per script

Value	Count	Frequency (%)
	337	42.5%
1	231	29.1%
3	74	9.3%
4	46	5.8%
2	36	4.5%
5	31	3.9%
6	17	2.1%
7	11	1.4%
8	6	0.8%
9	4	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	793	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	337	42.5%
1	231	29.1%
3	74	9.3%
4	46	5.8%
2	36	4.5%
5	31	3.9%
6	17	2.1%
7	11	1.4%
8	6	0.8%
9	4	0.5%

serology_interpretation
Categorical

MISSING

Distinct	3
Distinct (%)	4.3%
Missing	757
Missing (%)	91.5%
Memory size	6.6 KiB

Probably secondary	46
Inconclusive	15
Probably primary	9

Length

Max length	18
Median length	18
Mean length	16.45714286
Min length	12

Characters and Unicode

Total characters	1152
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Inconclusive
2nd row	Inconclusive
3rd row	Probably secondary
4th row	Probably secondary
5th row	Probably secondary

Value	Count	Frequency (%)
Probably secondary	46	5.6%
Inconclusive	15	1.8%
Probably primary	9	1.1%
(Missing)	757	91.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
probably	55	44.0%
secondary	46	36.8%
inconclusive	15	12.0%
primary	9	7.2%

Most occurring characters

Value	Count	Frequency (%)
r	119	10.3%
o	116	10.1%
b	110	9.5%
a	110	9.5%
y	110	9.5%
n	76	6.6%
c	76	6.6%
l	70	6.1%
s	61	5.3%
e	61	5.3%
Other values (9)	243	21.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1027	89.1%
Uppercase Letter	70	6.1%
Space Separator	55	4.8%

Most frequent character per category

Value	Count	Frequency (%)
r	119	11.6%
o	116	11.3%
b	110	10.7%
a	110	10.7%
y	110	10.7%
n	76	7.4%
c	76	7.4%
l	70	6.8%
s	61	5.9%
e	61	5.9%
Other values (6)	118	11.5%

Value	Count	Frequency (%)
P	55	78.6%
I	15	21.4%

Value	Count	Frequency (%)
	55	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1097	95.2%
Common	55	4.8%

Most frequent character per script

Value	Count	Frequency (%)
r	119	10.8%
o	116	10.6%
b	110	10.0%
a	110	10.0%
y	110	10.0%
n	76	6.9%
c	76	6.9%
l	70	6.4%
s	61	5.6%
e	61	5.6%
Other values (8)	188	17.1%

Value	Count	Frequency (%)
	55	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1152	100.0%

Most frequent character per block

Value	Count	Frequency (%)
r	119	10.3%
o	116	10.1%
b	110	9.5%
a	110	9.5%
y	110	9.5%
n	76	6.6%
c	76	6.6%
l	70	6.1%
s	61	5.3%
e	61	5.3%
Other values (9)	243	21.1%

shock
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	955.0 B

False	521
True	306

Common Values
Chart

Value	Count	Frequency (%)
False	521	63.0%
True	306	37.0%

shock_multiple
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	955.0 B

False	728
True	99

Common Values
Chart

Value	Count	Frequency (%)
False	728	88.0%
True	99	12.0%

wbc
Real number (ℝ_≥0)

MISSING

Distinct	115
Distinct (%)	20.5%
Missing	266
Missing (%)	32.2%
Infinite	0
Infinite (%)	0.0%

Mean	5.340463458
Minimum	1.1
Maximum	24.2
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	1.1
5-th percentile	1.9
Q1	3.3
median	4.9
Q3	6.8
95-th percentile	10
Maximum	24.2
Range	23.1
Interquartile range (IQR)	3.5

Descriptive statistics

Standard deviation	2.814164263
Coefficient of variation (CV)	0.5269513189
Kurtosis	4.842007705
Mean	5.340463458
Median Absolute Deviation (MAD)	1.7
Skewness	1.504701352
Sum	2996
Variance	7.919520499
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.6	13	1.6%
3.6	13	1.6%
4.5	13	1.6%
6.1	12	1.5%
4.1	12	1.5%
2.5	12	1.5%
4.3	12	1.5%
5.6	11	1.3%
3.2	11	1.3%
2.8	11	1.3%
Other values (105)	441	53.3%
(Missing)	266	32.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.1	5	0.6%
1.2	3	0.4%
1.3	4	0.5%
1.4	4	0.5%
1.5	1	0.1%

Value	Count	Frequency (%)
24.2	1	0.1%
17.4	1	0.1%
17.1	1	0.1%
16.3	1	0.1%
15.8	1	0.1%

weight
Real number (ℝ_≥0)

MISSING

Distinct	36
Distinct (%)	4.6%
Missing	37
Missing (%)	4.5%
Infinite	0
Infinite (%)	0.0%

Mean	50.47848101
Minimum	28
Maximum	99
Zeros	0
Zeros (%)	0.0%
Memory size	6.6 KiB

Quantile statistics

Minimum	28
5-th percentile	36
Q1	42
median	48
Q3	55
95-th percentile	72
Maximum	99
Range	71
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	11.47693638
Coefficient of variation (CV)	0.2273629505
Kurtosis	2.139742517
Mean	50.47848101
Median Absolute Deviation (MAD)	6
Skewness	1.110419022
Sum	39878
Variance	131.7200687
Monotocity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
45	72	8.7%
42	59	7.1%
40	58	7.0%
50	57	6.9%
55	48	5.8%
48	43	5.2%
47	42	5.1%
70	40	4.8%
54	35	4.2%
46	27	3.3%
Other values (26)	309	37.4%
(Missing)	37	4.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
28	10	1.2%
30	10	1.2%
34	9	1.1%
36	18	2.2%
37	7	0.8%

Value	Count	Frequency (%)
99	8	1.0%
75	8	1.0%
74	10	1.2%
73	8	1.0%
72	7	0.8%

day_from_enrolment
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct	129
Distinct (%)	16.1%
Missing	26
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%

Mean	16.95131086
Minimum	-238
Maximum	324
Zeros	88
Zeros (%)	10.6%
Memory size	6.6 KiB

Quantile statistics

Minimum	-238
5-th percentile	-49
Q1	0
median	3
Q3	7
95-th percentile	152
Maximum	324
Range	562
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	59.95816355
Coefficient of variation (CV)	3.537081235
Kurtosis	7.496124999
Mean	16.95131086
Median Absolute Deviation (MAD)	3
Skewness	2.000215072
Sum	13578
Variance	3594.981376
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	88	10.6%
2	71	8.6%
3	70	8.5%
1	59	7.1%
4	58	7.0%
5	58	7.0%
6	58	7.0%
-1	45	5.4%
7	23	2.8%
8	20	2.4%
Other values (119)	251	30.4%
(Missing)	26	3.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-238	1	0.1%
-177	1	0.1%
-151	1	0.1%
-149	3	0.4%
-147	1	0.1%

Value	Count	Frequency (%)
324	1	0.1%
323	1	0.1%
294	1	0.1%
293	1	0.1%
289	1	0.1%

day_from_admission
Real number (ℝ)

HIGH CORRELATION
MISSING
ZEROS

Distinct	131
Distinct (%)	16.4%
Missing	26
Missing (%)	3.1%
Infinite	0
Infinite (%)	0.0%

Mean	17.8227216
Minimum	-238
Maximum	325
Zeros	88
Zeros (%)	10.6%
Memory size	6.6 KiB

Quantile statistics

Minimum	-238
5-th percentile	-47
Q1	1
median	4
Q3	8
95-th percentile	152
Maximum	325
Range	563
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	59.97512845
Coefficient of variation (CV)	3.365093716
Kurtosis	7.487720442
Mean	17.8227216
Median Absolute Deviation (MAD)	3
Skewness	1.99595503
Sum	14276
Variance	3597.016033
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	88	10.6%
3	77	9.3%
1	70	8.5%
4	67	8.1%
2	66	8.0%
5	55	6.7%
7	52	6.3%
6	51	6.2%
9	23	2.8%
8	17	2.1%
Other values (121)	235	28.4%
(Missing)	26	3.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-238	1	0.1%
-177	1	0.1%
-151	1	0.1%
-148	3	0.4%
-147	1	0.1%

Value	Count	Frequency (%)
325	1	0.1%
324	1	0.1%
295	1	0.1%
294	1	0.1%
289	1	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	study_no	date	age	albumin	alt	aptt	ast	bleeding	bleeding_gum	bleeding_nose	bleeding_severity	bleeding_vaginal	bruising	creatinine	echymose	echymosis	event_serology	fibrinogen	gender	haematocrit_percent	hematemesis	hematoma	hemoglobin	igg	igg_interpretation	igm	igm_interpretation	lymphocytes_percent	meche	melaena	neutrophils_percent	pcr_dengue_load	pcr_dengue_serotype	petechiae	plt	pt	serology_interpretation	shock	shock_multiple	wbc	weight	day_from_enrolment	day_from_admission
0	1	2010-12-09	22.0	NaN	NaN		NaN	True	False	False	NaN	True	False	NaN	NaN	NaN	NaN		Female	37.1	NaN	NaN	13.0	NaN	NaN	NaN	NaN	13.2	NaN	NaN	74.6	NaN	DENV-2	False	123.00		NaN	False	False	3.6	45.0	-89.0	-88.0
1	1	2010-12-10	22.0	NaN	NaN	33.2	NaN	True	False	False	NaN	True	False	NaN	NaN	NaN	NaN	4	Female	37.7	NaN	NaN	13.4	NaN	NaN	NaN	NaN	16.8	NaN	NaN	72.5	NaN	DENV-2	False	116.00	14	NaN	False	False	4.3	45.0	-59.0	-58.0
2	1	2010-12-11	22.0	NaN	NaN		NaN	True	False	False	NaN	True	False	NaN	NaN	NaN	NaN		Female	36.8	NaN	NaN	12.9	NaN	NaN	NaN	NaN	19.7	NaN	NaN	71.6	NaN	DENV-2	False	108.00		NaN	False	False	2.4	45.0	-28.0	-27.0
3	1	2010-12-09	22.0	NaN	NaN	NaN	NaN	NaN	False	False	NaN	True	False	NaN	NaN	NaN	NaN	NaN	Female	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	DENV-2	False	NaN	NaN	NaN	False	False	NaN	45.0	-1.0	0.0
4	1	2010-12-10	22.0	NaN	NaN	36.2	NaN	True	False	False	3.0	True	False	NaN	False	False	NaN	3.7	Female	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	576428571.4	DENV-2	False	37.15	NaN	NaN	False	False	NaN	45.0	0.0	1.0
5	1	2010-12-12	22.0	NaN	NaN		NaN	True	False	False	NaN	True	False	NaN	NaN	NaN	NaN		Female	33.7	NaN	NaN	12.2	NaN	NaN	NaN	NaN	18.7	NaN	NaN	59.5	NaN	DENV-2	False	77.00		NaN	False	False	2.0	45.0	2.0	3.0
6	1	2010-12-13	22.0	NaN	NaN	36.2	NaN	True	False	False	NaN	True	False	NaN	NaN	NaN	True	3.7	Female	34.3	NaN	NaN	12.7	1.025	Negative	3.79	Negative	17.2	NaN	NaN	52.3	576428571.0	DENV-2	False	60.00	13	NaN	False	False	2.4	45.0	3.0	4.0
7	1	2010-12-14	22.0	NaN	NaN		NaN	True	False	False	NaN	True	False	NaN	NaN	NaN	NaN		Female	34.2	NaN	NaN	12.4	NaN	NaN	NaN	NaN	23.3	NaN	NaN	38.3	NaN	DENV-2	False	64.00		NaN	False	False	3.1	45.0	4.0	5.0
8	1	2010-12-16	22.0	NaN	NaN	NaN	NaN	NaN	False	False	NaN	True	False	NaN	NaN	NaN	True	NaN	Female	NaN	NaN	NaN	NaN	37.900	Positive	54.51	Positive	NaN	NaN	NaN	NaN	NaN	DENV-2	False	NaN	NaN	Inconclusive	False	False	NaN	45.0	6.0	7.0
9	2	2010-12-09	24.0	NaN	NaN		NaN	False	False	False	NaN	False	False	NaN	NaN	NaN	NaN		Female	33.0	NaN	NaN	12.2	NaN	NaN	NaN	NaN	7.5	NaN	NaN	84.4	NaN	DENV-4	False	127.00		NaN	False	False	3.6	34.0	-89.0	-88.0

Last rows

	study_no	date	age	albumin	alt	aptt	ast	bleeding	bleeding_gum	bleeding_nose	bleeding_severity	bleeding_vaginal	bruising	creatinine	echymose	echymosis	event_serology	fibrinogen	gender	haematocrit_percent	hematemesis	hematoma	hemoglobin	igg	igg_interpretation	igm	igm_interpretation	lymphocytes_percent	meche	melaena	neutrophils_percent	pcr_dengue_load	pcr_dengue_serotype	petechiae	plt	pt	serology_interpretation	shock	shock_multiple	wbc	weight	day_from_enrolment	day_from_admission
817	207	2011-05-16	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
818	208	2011-05-24	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
819	209	2011-06-01	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
820	210	2011-06-03	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
821	211	2011-06-07	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
822	221	2011-04-11	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	True	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
823	222	2011-04-11	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
824	223	2011-04-22	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
825	224	2011-05-04	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	True	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN
826	225	2011-05-30	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	False	NaN	False	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN	NaN	NaN	False	False	NaN	NaN	NaN	False	NaN	NaN	NaN	False	False	NaN	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows